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Aims to methodologically explain a phenomenological model with empirical contents for modelling ethics in socioeconomic development. Addresses a circular causality between state variables and policy variables for the case of socioeconomic development of Indonesia with ethics and values as important focus required for the private sector role.

This is a methodological paper with good empirical content prescribing policy recommendations for the role of ethics and values in the private sector in Indonesian socioeconomic development. Philosophy of science heads off the methodological part. This is combined with contextual elements of Islamic development financing instruments to highlight the need for ethics and values in the development of Indonesia, the largest Muslim nation.

The paper highlights how the Indonesia private sector and the Government need to corroborate the focus of ethics and values in the national development plan. This is a novel approach to modelling ethics and values and estimating it by circular causation system of regression equations answering the theme of social wellbeing through socioeconomic development.

The true empirical work would have used complexity methods. In the paper the simple approach has been maintained by using the system of circular causation related regression equations. This is part of an on‐going research project on unity of knowledge and its empirical application to specific problems of science and society including the social economy. Thus, the project presents challenging field of academic investigation for many.

Provides policy recommendations on how ethics and values ought to be incorporated in the socioeconomic development plan through private sector participation in Indonesia. The need for the role of private sector ethical consciousness in Socioeconomic development of Indonesia is highlighted.

This is an original contribution in the area of phenomenological investigation on ethics and how it can be modelled and applied in specific circumstances (Indonesia private sector development within her development plan). The paper brings forth a challenging concept along lines of a scientific research program that looks at the methodology of unity of knowledge as the phenomenological basis of development planning and then empirically investigates this methodological conception through modelling of ethics and values.

The purpose of this paper is to investigate the relationship between levels of socioeconomic development and subsequent trends in fertility among the states of India. Based on the Theory of Demographic Transition, this study tests the hypothesis: The higher the level of socioeconomic development in 1993, the greater the subsequent percentage of decrease in fertility rates between 1999 and 2006 among the states of India.

The study utilizes Pearson's r correlation and linear multiple regression analysis on three National Family Health Surveys data to predict two measures of decline in fertility from socioeconomic indicators.

The findings support the theory of demographic transition in large measure revealing that the overall level of socioeconomic development is directly related to subsequent declines in fertility among the states of India.

Correlations between state‐wide indicators are based on sample data of which margins of error and response rates are unknown.

The study suggests that the empowerment of women through education, employment opportunities and exposure to the mass media reduces fertility.

Population control in India is extremely important for the future welfare of all of its society members.

Although previous research has shown cross‐sectional correlations between fertility and socioeconomic development, this is the first time correlations between socioeconomic development and subsequent trends in fertility have been measured. This is methodologically important because Demographic Transition Theory hypothesizes a lag between modernization and fertility decline. Rather than correlating level of economic development with current fertility, this study correlates level of economic development with the subsequent dynamic changes in fertility.

This study aims to investigate the effects of environmental risk perception on the evaluation of socioeconomic development and subjective well-being in China.

A questionnaire survey was conducted, and data were collected from 408 participants of four major universities and government organizations in Changsha, China. Structural equation modeling (SEM) was used to analyze the collected data and to test the hypotheses with regard to the relationship among latent variables. Bayesian method was used as the statistical inference procedure.

Results show that environmental risk perception has a direct negative influence on perceived socioeconomic development and on subjective total well-being (i.e. both hedonic and eudaimonic well-being). The perceived socioeconomic development has a direct positive effect on the subjective total well-being; thus, it plays a partial mediation role between environmental risk perception and subjective total well-being.

Findings suggest that the environment protection act of the government and their contribution to socioeconomic development will significantly affect the total well-being of people. The empirical analysis is based on survey data; thus, this study may suffer the common problems of questionnaire survey.

Promoting pro-environment and health behaviors is important in developing a happy society.

This study demonstrates a significant negative effect of environmental risk perception on the total well-being of people according to SEM approach. This study determines two independent paths for government and policy makers to increase the total well-being of people in China, namely, increasing socioeconomic value to people and controlling and reducing environmental threats.

The purpose of this paper is to explore the relationship between public governance quality and tax compliance behavior in developing countries in terms of what transpires between governments and citizens, leading the later to pay or to abstain from paying tax. The study argues that socioeconomic condition is a mediator in the relationship and explains how and why it is so.

This study adopts the conceptual approach and connects the concepts through synthesis of literature and previous research findings.

The study concludes that socioeconomic condition mediates the relationship between public governance quality and tax compliance behavior in developing countries. Socioeconomic conditions appear to be a broader, clearer and more practical concept for measurement purpose than public goods/spending as currently understood in the literature.

The study is a conceptual effort, and there may a be need to undertake further empirical investigations. Developing countries vary in their socioeconomic conditions, and there is a need to acknowledge country-specific circumstances.

The implication of the finding includes the need for further research on the concept of socioeconomic condition, and how and why it influences tax compliance behavior in developing countries. Stakeholders and governments should monitor the impact of policies and actions on the socioeconomic condition of citizens to ensure they are satisfied. Their dissatisfaction leads to the boycott of the tax system which adversely affects economic development.

This study makes an original contribution by exploring socioeconomic conditions as a mediator between public governance quality and tax compliance behavior in developing countries. It is a significant contribution that is capable of shifting the direction of tax compliance research in developing countries due to its practical realities.

This chapter elaborates on the perspectives of financial development of countries of Central Asia and China through cooperation with Russia. The authors determine financial resources for the development of the countries of Central Asia and China and figure out possible scenarios for attracting additional financial resources and conclude that financial resources have a decisive role in socioeconomic development. It is substantiated that the increase and expansion of cooperation with Russia are the preferable scenario for attracting additional financial resources. The authors recommend expanding cooperation with Russia within the implementation of the selected optimal scenario are given.

This article analyzes the relationships between different conceptions of time, socioeconomic development and cultural values.

We focus on three major aspects of time, namely, 1) duration, 2) orientation and 3) tempo. Furthermore, we draw on modernization theory to distinguish between agrarian/traditional and industrial/modern societies and their respective cultural values.

Analyses indicate that agrarian/traditional societies with cultural values such as collectivism, survival, religiosity and hierarchical structures are marked by subjective/cyclical/inaccurate, past-oriented and slow-paced conceptions of time. In contrast, industrial/modern societies with cultural values such as individualism, self-expression, secularism and egalitarianism are marked by objective/linear/accurate, future-oriented and accelerated conceptions of time.

This paper introduces an original conceptualization of the three dimensions of time – duration, orientation and tempo – previously overlooked in the literature. Additionally, it provides an in-depth and comprehensive analysis of the relationships between time, culture and socioeconomic development.

This chapter investigates the geographical variations and approaches that shape the implementation of smart city projects on a global scale. Recognizing the significant influence of contextual factors on smart city initiatives, this chapter aims to comprehend the dynamics that drive the objectives and approaches of smart city projects across different countries. This chapter provides an overview of the strategic and geographical factors that impact smart city implementation, considering organizational drivers and practices, such as the Hofstede model in context. It explores the role of citizen-based, technology-based, and decision-making-based development in smart city implementation. Moreover, this chapter examines the strategic, cultural, socioeconomic, and geographical differences that influence smart city projects worldwide. It analyzes the geographical influence and internal drivers of smart city projects, focusing on Europe, North America, Latin America, and East and South Asia. This analysis offers insights into diverse approaches to smart city development, encompassing top-down and bottom-up approaches. By examining various perspectives and experiences from smart city initiatives worldwide, this chapter sheds light on the challenges and opportunities associated with implementing smart city strategies in different contexts.

The purpose of this paper is to analyze the promising potential of open data in Kazakhstan to boost public sector innovations and trace the emergence of the related civic engagement initiatives in order to understand how it affects the democratization of political communication processes in a typical developing country.

This is a case study research which begins with a brief history of the official open data project and then investigates various political and socioeconomic drivers, corresponding regulatory acts, the leading role of the key stakeholders and policy entrepreneurs in the diffusion of the open data movement as well as the main challenges associated with the advance of the open government concept in Kazakhstan, while various independent open data-driven projects provide a rich empirical basis for the analysis.

Open data provides new opportunities to promote civic engagement and e-participation but does not affect the fundamentals of the political system nor advances democratic institutions in a typical developing country. The traditional directives could paradoxically be effective in advancing open data even in a less collaborative political culture. The unitary administrative context is conducive for the development of the ICT-driven public sector initiatives as a single platform. The existence of independent developers is crucial in promoting various open data-driven projects and sharing related expertise. The open data movement creates a favorable atmosphere for the participation of the non-governmental sector in the sphere.

This case study is primarily focused on the analysis of the open data movement at the national level of government, taking into account the unitary structure of the public administration system existing in Kazakhstan, which apparently has a crucial fundamental effect on the realization of any e-government system in this country. In this respect, the main limitation of the research is that the possible existence of various open data-driven projects at the local levels that hypothetically may have a different set of political and socioeconomic drivers and challenges was excluded from the final equation, which provides a new window for the future research in the area.

The results of the research could be used by e-government practitioners and policymakers in evaluating and improving the operation of the open data-driven projects in many developing countries.

The author of the paper tried to develop a universal framework of the case study research that could be used in investigating the open data phenomenon not only in Kazakhstan but also in the context of other developing and transitional countries, especially in analyzing the apparitional emergence of the unique networking activities among the key stakeholders of the open data movement, i.e. policymakers, NGOs, businesses, developers, mass media and citizens. In addition, the results of the analysis could be used in testing the political and socioeconomic implications of the highly centralized e-government approach in the realization of the open data concept in a number of other typical unitary states.

In scientific works, the open data phenomenon is usually analyzed in the context of the most developed and democratic countries of the world with a vast majority of case studies being focused only on North America and Europe, forgetting that it is a global trend. In contrast to the traditional trends in the academic literature, the author of the paper studies the realization of the concept in an unusual context, resorting to the case study of a typical emerging and post-totalitarian nation such as Kazakhstan and focusing on the analysis of the key drivers and challenges in the diffusion of the open data concept in an attempt to answer the ultimate question: whether it is really harnessed by the members of civil society to promote civic engagement and e-participation.

The COVID-19 pandemic has impacted every community across the globe, but the global COVID-19 data show that the United States remains the most affected country where well over 666,000 people died, and approximately 40 million citizens became ill due to the virus' spread by mid-2021 (CDC, 2021). It is also noteworthy that extreme racial disparities in rates of COVID-19 cases and deaths are high in the United States, specifically among African American population. This situation is particularly evident among African American population in Alabama's Black Belt. Subsequently, COVID-19, racial disparities, and health inequalities have become central to the national and regional conversation. This chapter examines the associations between COVID-19, social determinants of health, and the systematic health disparity in African American population in Alabama's Black Belt region using Geographic Information Systems and the concept of uneven spatial development. Understanding the relationship between COVID-19 and these disparities within a spatial context vital to developing pathways to overcome the pandemic's effects and combat the systemic discrimination in this region. The derived policy recommendation could apply to other regions experiencing social inequality and health disparity.